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  • Healthcare Data Analytics

Healthcare Data Analytics Courses

Healthcare data analytics courses can help you learn statistical analysis, data visualization, predictive modeling, and patient outcome measurement. You can build skills in interpreting complex datasets, identifying trends in healthcare delivery, and making data-driven decisions to improve patient care. Many courses introduce tools like R, Python, and Tableau, that support analyzing healthcare data and creating impactful visual reports that inform stakeholders about trends and outcomes.


Popular Healthcare Data Analytics Courses and Certifications


  • C

    Coursera

    Analyze Box Office Data with Seaborn and Python

    Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications

    4.5
    Rating, 4.5 out of 5 stars
    ·
    182 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    PySide2 Project - Data Fetching Application

    Skills you'll gain: Application Development, Event-Driven Programming, Application Design, User Interface (UI), Program Development, Development Environment, Data Integration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    M

    Microsoft

    Mastering Data Wrangling with dplyr

    Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Exploratory Data Analysis, Data Analysis, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    P

    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Real-Time, Real Fast: Kafka & Spark for Data Engineers

    Skills you'll gain: Apache Kafka, Data Transformation, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, PySpark, Operational Databases, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Data Processing, Data Governance, Scalability, Event-Driven Programming, System Monitoring, Docker (Software)

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Seaborn with Python: Data Visualization for Beginners

    Skills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Box Plots, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Pandas (Python Package), NumPy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis

    3.1
    Rating, 3.1 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Integral Calculus through Data and Modeling

    Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Data Integration, Mathematical Modeling, Data Analysis, Vector Databases, Probability, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Spatial Data Analysis, Derivatives, Physics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    138 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    N

    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Supervised Learning, Model Evaluation

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Mastering PROC SQL in SAS: Analyze, Query & Optimize Data

    Skills you'll gain: Statistical Reporting, Data Access, Analysis, Data Maintenance, Data Cleansing, Debugging

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    U

    University of Leeds

    Data Science: How to Plan Projects, Research and Reflect

    Skills you'll gain: General Science and Research, Analytical Skills, Data Science, Technical Communication, Record Keeping, Critical Thinking, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular healthcare data analytics courses

  • Analyze Box Office Data with Seaborn and Python: Coursera
  • PySide2 Project - Data Fetching Application: EDUCBA
  • Mastering Data Wrangling with dplyr: Microsoft
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
  • Seaborn with Python: Data Visualization for Beginners: EDUCBA
  • Perform data science with Azure Databricks: Microsoft
  • Integral Calculus through Data and Modeling: Johns Hopkins University
  • Machine Learning with Small Data Part 1: Northeastern University
  • Mastering PROC SQL in SAS: Analyze, Query & Optimize Data: EDUCBA

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